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Merten Stender

Showing results (1-10 of 6) with videos related to

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Chaos (Woodbury, N.Y.)|August 12, 2025
Task-specific node pruning enhances computational efficiency of reservoir computing networksManish Yadav, Merten Stender
Chaos (Woodbury, N.Y.)|September 18, 2025
Dynamics-informed reservoir computing with visibility graphsCharlotte Geier, Rasha Shanaz, Merten Stender
Physical Review. E|February 20, 2025
Evolution beats random chance: Performance-dependent network evolution for enhanced computational capacityManish Yadav, Sudeshna Sinha, Merten Stender
Chaos (Woodbury, N.Y.)|September 4, 2025
Denoising and reconstruction of nonlinear dynamics using truncated reservoir computingOmid Sedehi, Manish Yadav, Merten Stender, et al.
Neural Networks : the Official Journal of the International Neural Network Society|October 18, 2022
Surface similarity parameter: A new machine learning loss metric for oscillatory spatio-temporal dataMathies Wedler, Merten Stender, Marco Klein, et al.
The Journal of the Acoustical Society of America|March 26, 2021
Explainable machine learning determines effects on the sound absorption coefficient measured in the impedance tubeMerten Stender, Christian Adams, Mathies Wedler, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Chaos (Woodbury, N.Y.)|August 12, 2025
Task-specific node pruning enhances computational efficiency of reservoir computing networksManish Yadav, Merten Stender
Chaos (Woodbury, N.Y.)|September 18, 2025
Dynamics-informed reservoir computing with visibility graphsCharlotte Geier, Rasha Shanaz, Merten Stender
Physical Review. E|February 20, 2025
Evolution beats random chance: Performance-dependent network evolution for enhanced computational capacityManish Yadav, Sudeshna Sinha, Merten Stender
Chaos (Woodbury, N.Y.)|September 4, 2025
Denoising and reconstruction of nonlinear dynamics using truncated reservoir computingOmid Sedehi, Manish Yadav, Merten Stender, et al.
Neural Networks : the Official Journal of the International Neural Network Society|October 18, 2022
Surface similarity parameter: A new machine learning loss metric for oscillatory spatio-temporal dataMathies Wedler, Merten Stender, Marco Klein, et al.
The Journal of the Acoustical Society of America|March 26, 2021
Explainable machine learning determines effects on the sound absorption coefficient measured in the impedance tubeMerten Stender, Christian Adams, Mathies Wedler, et al.
Pageof 1